mlsanityData to 14 Oct 2026

Toward an AI-Native Internet: Rethinking the Web Architecture for Semantic Retrieval

arXiv 2511.18354 ↗First posted 23 Nov 2025cs.NI cs.AI cs.IRcited by 1

On the map: LLM reasoning → Knowledge- and tool-augmented reasoning

Abstract (arXiv)

The rise of Generative AI Search is fundamentally transforming how users and intelligent systems interact with the Internet. LLMs increasingly act as intermediaries between humans and web information. Yet the web remains optimized for human browsing rather than AI-driven semantic retrieval, resulting in wasted network bandwidth, lower information quality, and unnecessary complexity for developers. We introduce the concept of an AI-Native Internet, a web architecture in which servers expose semantically relevant information chunks rather than full documents, supported by a Web-native semantic resolver that allows AI applications to discover relevant information sources before retrieving fine-grained chunks. Through motivational experiments, we quantify the inefficiencies of current HTML-based retrieval, and outline architectural directions and open challenges for evolving today's document-centric web into an AI-oriented substrate that better supports semantic access to web content.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Knowledge- and tool-augmented reasoning, one of 17 directions in LLM reasoning. Builds on 10 of its 23 references that are in the map. First posted on arXiv 23 Nov 2025.

Builds on

10 of 23 references.

Closest ancestors · 2

Same direction, newest first

  1. 2025WebThinker: Empowering Large Reasoning Models with Deep Research Capability30 Apr
  2. 2025Open Deep Search: Democratizing Search with Open-source Reasoning Agents26 Mar

Other references · 8

  1. 2025DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environmentscited by 286
  2. 2025Agentic Retrieval-Augmented Generation: A Survey on Agentic RAGcited by 249
  3. 2024Retrieval-Augmented Generation with Graphs (GraphRAG)cited by 172
  4. 2025Knowledge Graph-Guided Retrieval Augmented Generationcited by 58
  5. 2025Beyond DNS: Unlocking the Internet of AI Agents via the NANDA Index and Verified AgentFactscited by 21
  6. 2025ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Frameworkcited by 11
  7. 2025Upgrade or Switch: Do We Need a Next-Gen Trusted Architecture for the Internet of AI Agents?cited by 8
  8. 2025Planet as a Brain: Towards Internet of AgentSites based on AIOS Servercited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Developer Experience with AI Coding Agents: HTTP Behavioral Signatures in Documentation Portalscited by 1

Similar, not cited

Close in wording, no citation either way

  1. 2025Model-Document Protocol for AI Search
  2. 2026Semantics Delivery Network: Rethinking Web Retrieval Infrastructure for LLM Agents
  3. 2025Search Is Not Retrieval: Decoupling Semantic Matching from Contextual Assembly in RAG
  4. 2026Retrieval as Reasoning: Self-Evolving Agent-Native Retrieval via LLM-Wiki
  5. 2025InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation
  6. 2025TURA: Tool-Augmented Unified Retrieval Agent for AI Search
  7. 2025From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents
  8. 2025Information Retrieval in the Age of Generative AI: The RGB Model